R-universe search: exports:define

Showing 9 of total 9 results (show query)

dbosak01

reporter:Creates Statistical Reports

Contains functions to create regulatory-style statistical reports. Originally designed to create tables, listings, and figures for the pharmaceutical, biotechnology, and medical device industries, these reports are generalized enough that they could be used in any industry. Generates text, rich-text, PDF, HTML, and Microsoft Word file formats. The package specializes in printing wide and long tables with automatic page wrapping and splitting. Reports can be produced with a minimum of function calls, and without relying on other table packages. The package supports titles, footnotes, page header, page footers, spanning headers, page by variables, and automatic page numbering.

Maintained by David Bosak. Last updated 1 years ago.

report reporting reports rptr

16 stars 9.35 score 173 scripts 4 dependents

dkaschek

dMod:Dynamic Modeling and Parameter Estimation in ODE Models

The framework provides functions to generate ODEs of reaction networks, parameter transformations, observation functions, residual functions, etc. The framework follows the paradigm that derivative information should be used for optimization whenever possible. Therefore, all major functions produce and can handle expressions for symbolic derivatives.

Maintained by Daniel Kaschek. Last updated 22 days ago.

20 stars 8.35 score 251 scripts

statisfactions

simpr:Flexible 'Tidyverse'-Friendly Simulations

A general, 'tidyverse'-friendly framework for simulation studies, design analysis, and power analysis. Specify data generation, define varying parameters, generate data, fit models, and tidy model results in a single pipeline, without needing loops or custom functions.

Maintained by Ethan Brown. Last updated 9 months ago.

43 stars 6.89 score 30 scripts

michaelhallquist

ggbrain:Create Images of Volumetric Brain Data in NIfTI Format Using 'ggplot2' Syntax

A 'ggplot2'-consistent approach to generating 2D displays of volumetric brain imaging data. Display data from multiple NIfTI images using standard 'ggplot2' conventions such scales, limits, and themes to control the appearance of displays. The resulting plots are returned as 'patchwork' objects, inheriting from 'ggplot', allowing for any standard modifications of display aesthetics supported by 'ggplot2'.

Maintained by Michael Hallquist. Last updated 8 days ago.

cpp

2 stars 5.21 score 18 scripts

stevecondylios

dictionaRy:Retrieve the Dictionary Definitions of English Words

An R interface to the 'Free Dictionary API' <https://dictionaryapi.dev/>, <https://github.com/meetDeveloper/freeDictionaryAPI>. Retrieve dictionary definitions for English words, as well as additional information including phonetics, part of speech, origins, audio pronunciation, example usage, synonyms and antonyms, returned in 'tidy' format for ease of use.

Maintained by Steve Condylios. Last updated 3 years ago.

literature natural-language-processing r-language

6 stars 4.86 score 240 scripts

oobianom

r2dictionary:A Mini-Dictionary for 'Shiny' and 'Rmarkdown' Documents

Despite the predominant use of R for data manipulation and various robust statistical calculations, in recent years, more people from various disciplines are beginning to use R for other purposes. A critical milestone that has enabled large influx of users in the R community is the development of the Tidyverse family of packages and Rmarkdown. With the latter, one can write all kinds of documents and produce output in formats such html and pdf very easily. In doing this seemlessly, further tools are needed for such users to easily and freely write in R for all kinds of purposes. The r2dictionary introduces a means for users to directly search for definitions of terms within the R environment.

Maintained by Obinna Obianom. Last updated 2 years ago.

dictionary

2 stars 4.00 score 3 scripts

cran

rcausim:Generate Causally-Simulated Data

Generate causally-simulated data to serve as ground truth for evaluating methods in causal discovery and effect estimation. The package provides tools to assist in defining functions based on specified edges, and conversely, defining edges based on functions. It enables the generation of data according to these predefined functions and causal structures. This is particularly useful for researchers in fields such as artificial intelligence, statistics, biology, medicine, epidemiology, economics, and social sciences, who are developing a general or a domain-specific methods to discover causal structures and estimate causal effects. Data simulation adheres to principles of structural causal modeling. Detailed methodologies and examples are documented in our vignette, available at <https://htmlpreview.github.io/?https://github.com/herdiantrisufriyana/rcausim/blob/master/doc/causal_simulation_exemplar.html>.

Maintained by Herdiantri Sufriyana. Last updated 9 months ago.

3.00 score

carpentries

glosario:A Multilingual Glossary

A glossary of data science terms in multiple languages and usable from multiple languages.

Maintained by Greg Wilson. Last updated 2 years ago.

glosario hacktoberfest

6 stars 2.78 score 9 scripts

lev-kuznetsov

injectoR:R Dependency Injection

R dependency injection framework. Dependency injection allows a program design to follow the dependency inversion principle. The user delegates to external code (the injector) the responsibility of providing its dependencies. This separates the responsibilities of use and construction.

Maintained by Lev Kuznetsov. Last updated 9 years ago.

1 stars 1.70 score 6 scripts